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Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Job in Waukesha, Waukesha County, Wisconsin, 53188, USA
Listing for: Hudson Manpower
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Position:
Software Engineer - GPU, C++, OpenCL, CUDA

Location:
Waukesha, WI (Onsite)

Exp: 5 – 9 yrs

Key

Skills:

GPU, C++, OpenCL, CUDA, OneAPI, Matlab

Only USC / GC

Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.

Primary Objective:

  • Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)

  • Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations

  • Ensure quality and compliance of productized code per regulatory expectations

  • Detailed Requirements:

  • Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, orOpenCLto CUDA

  • Improved image chain & algorithm performance compared to initial benchmarks

  • Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues

  • Improve GPU utilization leveraging heterogenous HPC knowledge.

  • Perform testing,reliability analysis, performance benchmarks and document results

  • Execute test procedures with high quality and rigor, following Good Documentation Practices

  • Work Experience
    Skills:

  • Programming

    Languages:

    C++,OpenCL, CUDA, OneAPI

  • Image Processing Algorithms:
    Implementation and optimization on GPUs

  • High-Performance Computing (HPC):
    Knowledge of heterogeneous HPC

  • Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues

  • Testing and Documentation:
    Performing testing,reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

  • Additional Experience:

    Productizing Algorithms:
    Experience in productizing CT image processing algorithms on GPU
    Porting Algorithms:
    Experience in porting algorithms from Matlab to GPU orOpenCLto CUDA
    Improving Performance:
    Proven track record of improving image chain and algorithm performance compared to initial benchmarks
    Quality and Compliance:
    Ensuring quality and compliance of productized code per regulatory expectations

    Best regards,

    Prasad Kalsekar |Hudson Manpower
    Email:

    #J-18808-Ljbffr
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